An efficient approach for detection and classification of cancer regions in cervical images using optimization based CNN classification approach

P Elayaraja, S Kumarganesh… - Journal of Intelligent …, 2022 - content.iospress.com
Cervical cancer can be cured if it is initially screened and giving timely treatment to the
patients. This paper proposes an optimization technique for exposing and segmenting the …

[PDF][PDF] Machine learning technique for detection of cervical cancer using k-NN and artificial neural network

PK Malli, S Nandyal - International Journal of Emerging Trends & …, 2017 - academia.edu
Cervical cancer along with micro classification are one of the 2 major forms of cancer being
observed amongst women across the globe. A cervical cancer results in dead nucleus or …

[HTML][HTML] Automatic approach for cervical cancer detection and segmentation using neural network classifier

P Elayaraja, M Suganthi - Asian Pacific journal of cancer prevention …, 2018 - ncbi.nlm.nih.gov
Cervical cancer leads to major death disease in women around the world every year. This
cancer can be cured if it is initially screened and giving timely treatment to the patients. This …

[PDF][PDF] Cervical cancer detection method using an improved cellular neural network (CNN) algorithm

AA Abdullah, AFD Giong, NAH Zahri - Indones. J. Electr. Eng …, 2019 - researchgate.net
Cervical cancer is the second most common in Malaysia and the fourth frequent cancer
among women in worldwide. Pap smear test is often ignored although it is actually useful …

Detection of cervix tumor using an intelligent system accompanied with PNN classification approach

K Vijila Rani, M Eugine Prince… - Signal, Image and Video …, 2023 - Springer
In the medical field, image analysis is used to identify tumors. Image segmentation is a
critical aspect of image processing. Pap-smear imaging techniques are one of the tools to …

RETRACTED ARTICLE: Computer aided innovation method for detection and classification of cervical cancer using ANFIS classifier

S Ponnusamy, R Samikannu, SK Venkatachary… - Journal of Ambient …, 2021 - Springer
Early detection of cervical tumour is very important to minimise deaths due to cervical
cancer. Further it provides a deep insight into the anatomical information of the normal and …

Detection and classification of cervical cancer images using CEENET deep learning approach

TG Subarna, P Sukumar - Journal of Intelligent & Fuzzy …, 2022 - content.iospress.com
Earlier detection of cervical cancer in women can save their lives before a chronic
development. The accurate detection in cancer tissues of cervix in the human body is very …

[PDF][PDF] Effective feature selection for pre-cancerous cervix lesions using artificial neural networks

F Rouhbakhsh, F Farokhi, K Kangarloo - International Journal of Smart …, 2012 - ijsee.ctb.iau.ir
Since most common form of cervical cancer starts with pre-cancerous changes, a flawless
detection of these changes becomes an important issue to prevent and treat the cervix …

Early cervical cancer diagnosis using Sooty tern‐optimized CNN‐LSTM classifier

B Chitra, SS Kumar - International Journal of Imaging Systems …, 2022 - Wiley Online Library
Detecting and categorizing Pap smear images automatically has been a difficult task over
the past five decades. There is a significant need for the design and implementation of low …

Hybrid techniques for diagnosis with WSIs for early detection of cervical cancer based on fusion features

BA Mohammed, EM Senan, ZG Al-Mekhlafi, M Alazmi… - Applied Sciences, 2022 - mdpi.com
Cervical cancer is a global health problem that threatens the lives of women. Liquid-based
cytology (LBC) is one of the most used techniques for diagnosing cervical cancer; converting …